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Update rl-framework.mdx
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@@ -12,8 +12,6 @@ To understand the RL process, let’s imagine an agent learning to play a platfo
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<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/RL_process_game.jpg" alt="The RL process" width="100%">
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\$\sqrt{2}\$
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- Our Agent receives **state \\(S_0\\)** from the **Environment** — we receive the first frame of our game (Environment).
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- Based on that **state \\(S_0\\),** the Agent takes **action \\(A_0\\)** — our Agent will move to the right.
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- Environment goes to a **new** **state \\(S_1\\)** — new frame.
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